Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1864
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dc.contributor.authorAtkotiya, Kishor H.-
dc.contributor.authorFaldu, Ankit J.-
dc.contributor.authorPatel, Amit-
dc.contributor.authorGujarati, Prakash-
dc.date.accessioned2024-11-21T08:15:51Z-
dc.date.available2024-11-21T08:15:51Z-
dc.date.issued2020-
dc.identifier.issn0025-0422-
dc.identifier.urihttp://10.9.150.37:8080/dspace//handle/atmiyauni/1864-
dc.description.abstractThe evolution and easy availability of internet services to the people has commanded to generated large volume of data. When more data is generated and more resource are required for analysis of those data. There is no value of data unless it's analyzed and organization should get useful information to drive organization and decision making from those gather data. Current data has been divided into three type, namely structured, semi-structured, and unstructured. Accurate retrieval Information or extraction from structured and semi-structured is easy as compare to unstructured data. Currently 80% data are unstructured. images, audio, video are some of example of unstructured data. There is need to understand the unstructured data and extraction useful information from those data. In this paper is focus on study of different information extraction methods used to analysis of images data.en_US
dc.language.isoenen_US
dc.publisherThe Maharaja Sayajirao University of Barodaen_US
dc.relation.ispartofseries54;2(V)-
dc.subjectUnstructured dataen_US
dc.subjectImage, data analysisen_US
dc.subjectData analyticsen_US
dc.subjectInformation extraction,en_US
dc.subjectImage Processingen_US
dc.titleStudy of Different Information Extraction Methods Used for Analysis of Unstructured Image Data: A Literature Surveyen_US
dc.typeArticleen_US
Appears in Collections:01. Journal Articles

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